Underground Cable Fault Detection using IOT

Mr.China Babu.V , Talari.Sanjana , Kanithi.Sowmya

Fault Distance location

This project Underground Cable Fault Distance Locator is used for identifying faults in the underground cable. Underground cables are prone to a wide variety of faults due to underground conditions, wear and tear, rodents etc. Diagnosing fault source is difficult and entire cable should be taken out from the ground to check and fix faults. The project work is intended to detect the location of fault in underground cable lines from the base station in km using a Arduino microcontroller. To locate a fault in the cable, the cable must be tested for faults. This prototype uses the concept of Ohms law. The current would vary depending upon the length of fault of the cable. In the urban areas, the electrical cable run in underground instead of overhead lines. Whenever the fault occurs in underground cable it is difficult to detect the exact location of the fault. The prototype is modelled with a set of wires representing cable length in km and fault creation is made by a set of switches at every known distance to cross check the accuracy of the same. In case of fault, the voltage across series wires change accordingly, which is then fed to an ADC to develop precise digital data to a programmed Arduino that further displays fault location in distance. The fault occurring distance is displayed on a 16X2 LCD interfaced with the microcontroller

Published Paper   E-Certificate

"Underground Cable Fault Detection using IOT", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.11, Issue 1, page no.a209-a217, January-2026, Available :https://ijsdr.org/papers/IJSDR2601025.pdf

Volume 11 Issue 1, January-2026

Pages : a209-a217

Paper Reg. ID: IJSDR_306799

Published Paper Id: IJSDR2601025

Downloads: 000291

Research Area: Science and Technology

Country: west godavari district, Andhra pradesh, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2601025

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2601025

DOI: https://doi.org/10.56975/ijsdr.v11i1.306799

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition